Global spending on manufacturing software reached $34.8 billion in 2024, a key indicator of digital investment capacity for sawmills and wood processors. This article presents statistics on the adoption and impact of these technologies across the lumber supply chain.
Key Takeaways
- $34.8 billion global spending on manufacturing software in 2024 (includes applications for digital transformation), reflecting investment capacity relevant to forestry, sawmilling, and wood processing
- $9.7 billion projected spend on Industrial IoT (IIoT) solutions worldwide in 2024, supporting use cases such as connected equipment and predictive maintenance in mills and logistics
- $11.2 billion estimated global spending on digital process automation in 2024, relevant to automating supply-chain and production workflows
- 30%–50% reduction in unplanned downtime can be achieved with predictive maintenance technologies (common in industrial and manufacturing environments)
- 60% of supply-chain organizations report that real-time visibility improves service levels (relevant for timber and lumber logistics and order fulfillment)
- 79% of organizations said they have a cloud strategy in place (enables digital transformation of ERP, analytics, and connected operations in process industries including forestry and lumber)
- 64% of enterprises use ERP systems, forming the backbone for integrated planning, inventory, and production control
- 27% of respondents in a 2023 survey said they have already deployed MES (Manufacturing Execution Systems) or similar shop-floor execution tools
- 81% of companies say they have adopted some form of data/analytics in supply chain planning, enabling digital transformation in order management and inventory
- 60% reduction in unplanned work is reported in case studies using maintenance analytics and work management integration
- In industrial surveys, 86% of respondents said IoT increases operational efficiency (supports DT investment in connected monitoring for industrial plants)
- 45% of organizations reported that implementing industrial IoT improved asset utilization (connected monitoring and analytics support better scheduling and maintenance planning)
- 30% lower energy costs are possible with industrial optimization initiatives that leverage real-time monitoring and control
- $1.6 million average annual savings per facility are reported in case studies where asset monitoring and predictive maintenance are deployed (industrial settings)
- U.S. lumber and wood product manufacturing had a mean annual pay of $57,000 in 2023 (labor cost context for productivity gains from digital transformation)
Lumber companies are investing in IoT, automation, and cloud to cut downtime and improve real time supply chain visibility.
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01 · Category
Market Size13 stats
01
$34.8 billion global spending on manufacturing software in 2024 (includes applications for digital transformation), reflecting investment capacity relevant to forestry, sawmilling, and wood processing
02
$9.7 billion projected spend on Industrial IoT (IIoT) solutions worldwide in 2024, supporting use cases such as connected equipment and predictive maintenance in mills and logistics
03
$11.2 billion estimated global spending on digital process automation in 2024, relevant to automating supply-chain and production workflows
04
$1.9 trillion global market for ERP software by 2030 is projected by MarketsandMarkets, illustrating the breadth of enterprise systems that can support wood product companies
05
IoT spending is projected to reach $1.1 trillion by 2025 worldwide (industrial IoT enables connected assets, telemetry, and condition monitoring for mills and lumber yards)
06
The global predictive maintenance market is forecast to reach $22.7 billion by 2028 (forecast-driven demand for industrial analytics and condition monitoring)
07
The global industrial automation market is expected to grow to $329.3 billion by 2029 (process and discrete automation systems underwrite digital transformation in production facilities)
08
$8.8 billion: North American spending on manufacturing software in 2024 as reported by a global industry benchmark (indicates purchasing power for applications that support digital transformation in wood products manufacturing)
09
Industrial robots are projected to exceed 3.0 million units shipped globally in 2025 (automation investments can complement digital transformation in lumber mills and sawmills)
10
Connected devices are forecast to reach 55.8 billion globally by 2025 (enables large-scale telemetry for industrial assets and processes)
11
The global cloud security market is projected to reach $22.8 billion by 2026 (security is critical for cloud-based DT programs involving OT and enterprise systems)
12
Real-time location systems (RTLS) are expected to grow to a $7.6 billion market by 2030 globally (supports tracking of material movements and assets in mills/warehouses)
13
Machine vision is expected to reach a $9.5 billion market by 2029 (supports automated inspection and measurement in production environments)
Interpretation
Market Size Interpretation
In the lumber industry, the scale of digital transformation investments is already clear from the $34.8 billion global spending on manufacturing software in 2024, and it is set to expand further as IIoT, automation, and connected technologies grow rapidly worldwide.
02 · Category
Industry Trends6 stats
01
30%–50% reduction in unplanned downtime can be achieved with predictive maintenance technologies (common in industrial and manufacturing environments)
02
60% of supply-chain organizations report that real-time visibility improves service levels (relevant for timber and lumber logistics and order fulfillment)
03
79% of organizations said they have a cloud strategy in place (enables digital transformation of ERP, analytics, and connected operations in process industries including forestry and lumber)
04
82% of organizations said they are concerned about data security risks (drives investment in secure cloud, identity, and OT/IT security controls for digital transformation)
05
In the U.S., total annual harvest volume of industrial roundwood was 405.4 million cubic feet (2019) (provides scale context for where digital transformation investments target forestry-to-mill workflows)
06
U.S. primary wood manufacturing employed 971,000 workers in 2023 (scale of workforce impacted by digital transformation in mills and woodworking plants)
Interpretation
Industry Trends Interpretation
Industry trends in lumber digital transformation are being driven by measurable wins like 60% of supply chain organizations reporting that real time visibility boosts service levels, alongside broad cloud adoption where 79% already have a cloud strategy, even as 82% remain focused on data security.
03 · Category
User Adoption5 stats
01
64% of enterprises use ERP systems, forming the backbone for integrated planning, inventory, and production control
02
27% of respondents in a 2023 survey said they have already deployed MES (Manufacturing Execution Systems) or similar shop-floor execution tools
03
81% of companies say they have adopted some form of data/analytics in supply chain planning, enabling digital transformation in order management and inventory
04
24% of organizations reported that they have deployed digital twins in at least one use case (digital twin deployments can support line optimization and maintenance planning)
05
In supply chain planning, 74% of organizations reported using forecasting as part of their planning process (digital planning improves inventory and replenishment performance)
Interpretation
User Adoption Interpretation
For user adoption in the lumber industry, the strongest signal is that digital planning and execution are taking hold with 81% of companies already using data or analytics in supply chain planning and 74% using forecasting, which helps drive wider uptake beyond core ERP adoption.
More related reading
04 · Category
Performance Metrics3 stats
01
60% reduction in unplanned work is reported in case studies using maintenance analytics and work management integration
02
In industrial surveys, 86% of respondents said IoT increases operational efficiency (supports DT investment in connected monitoring for industrial plants)
03
45% of organizations reported that implementing industrial IoT improved asset utilization (connected monitoring and analytics support better scheduling and maintenance planning)
Interpretation
Performance Metrics Interpretation
Performance metrics in lumber digital transformation show measurable gains, with 60% fewer unplanned work through maintenance analytics and work management integration and 86% of industrial IoT survey respondents reporting higher operational efficiency, plus 45% seeing better asset utilization from connected monitoring and analytics.
05 · Category
Cost Analysis3 stats
01
30% lower energy costs are possible with industrial optimization initiatives that leverage real-time monitoring and control
02
$1.6 million average annual savings per facility are reported in case studies where asset monitoring and predictive maintenance are deployed (industrial settings)
03
U.S. lumber and wood product manufacturing had a mean annual pay of $57,000in 2023 (labor cost context for productivity gains from digital transformation)
Interpretation
Cost Analysis Interpretation
From a cost analysis perspective, digital transformation in lumber plants is showing clear savings, with real time industrial optimization enabling up to 30% lower energy costs and asset monitoring plus predictive maintenance delivering about $1.6 million in average annual savings per facility.
report visual · Comparison
Key digital transformation investments & capabilities (global)
Spending across manufacturing software, IIoT, and automation—along with growing connected devices—highlights the scale of digital transformation enablers for lumber, mills, and wood processing.
Manufacturing software spending (2024)$34.8 billion
Digital process automation spend (2024)$11.2 billion
Industrial IoT (IIoT) solutions spend (2024)$9.7 billion
Connected devices forecast (by 2025)55.8
source-verifiedidc.com · gartner.com · statista.com2025
Reference
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APA
Min-ji Park. (2026, February 13). Digital Transformation In The Lumber Industry Statistics. Gitnux. https://gitnux.org/digital-transformation-in-the-lumber-industry-statistics
MLA
Min-ji Park. "Digital Transformation In The Lumber Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/digital-transformation-in-the-lumber-industry-statistics.
Chicago
Min-ji Park. 2026. "Digital Transformation In The Lumber Industry Statistics." Gitnux. https://gitnux.org/digital-transformation-in-the-lumber-industry-statistics.
Sources & references
30 datasets cited across this report · attribution is report-level
+11 additional datasets cited (not shown individually)